We will present and analyze Perception-based Logical Deduction
(PbLD). It is an inference method aimed at the treatment of fuzzy
IF-THEN rules as linguistically expressed genuine logical
implications. We will propose global and local variants of PbLD,
introduce PbLD with fuzzy inputs and study it from the point of
view of the interpolativity property. In the last part of the
presentation, a Linguistic Fuzzy Logic Package for the R software
will be presented with focus on searching for association rules,
size reduction of rule bases, and running the inference based on
PbLD.